AGM - Data Scientist

Job Title: AGM - Data Scientist Company: VodafoneZiggo Job Category: Data Science Roles & Responsibilities: Job Req ID: 51073 Location: Pune, Maharashtra, IN Function: Technology/ IOT/Cloud About: Role Function / Department The role will work with large\-scale network and operational data to deliver predictive insights, anomaly detection, forecasting, root\-cause analysis and intelligent automation, with end\-to\-end ownership from model development to production deployment and monitoring. Key Responsibilities * Develop ML solutions for anomaly detection, forecasting, classification, clustering, NLP and predictive analytics. * Apply AI/ML to telecom datasets including network KPIs, alarms, events, logs, configurations and service\-performance data. * Build GenAI/LLM applications, RAG pipelines, semantic search and Agentic AI workflows. * Develop scalable batch and streaming data pipelines using Python, SQL, Spark, Kafka or similar technologies. * Implement MLOps practices covering model versioning, CI/CD, deployment, monitoring, drift detection and retraining. * Design production\-ready AI services using APIs, microservices and containerized architectures. * Apply Responsible AI, security, privacy, governance and AI guardrails. * Collaborate with SNOC, Performance, Engineering and IT teams to translate operational problems into scalable AI solutions. Work Location: MH, India Availability: Full time

Required Skills \& Experience * 7\+ years of experience in Data Science, AI/ML or Advanced Analytics. * Strong hands\-on expertise in Python, SQL and Machine Learning. * Experience with scikit\-learn, PyTorch, TensorFlow or equivalent. * Hands\-on experience with GenAI, LLMs, RAG, Embeddings, Vector Databases, Classical ML and Deep Learning. * Exposure to Agentic AI frameworks such as LangGraph, LlamaIndex, AutoGen or CrewAI. * Experience with MLOps platforms such as MLflow, Kubeflow, Azure ML, SageMaker or equivalent. * Experience handling high\-volume data using Spark, Kafka, Databricks or similar platforms. * Strong analytical, problem\-solving and stakeholder communication skills. Preferred Qualifications: * Experience in telecom/network performance analytics. * Knowledge of network anomaly detection, outage prediction, RCA, forecasting and network optimization. * Experience with Azure/AWS/GCP, Docker, Kubernetes and microservices. * Understanding of Responsible AI and AI governance Education Bachelor’s degree in computer science, Data Science, AI, Statistics, Engineering or a related quantitative discipline. Master's degree or relevant AI/ML certification is an advantage. Key Skills: Data Science, Python, SQL, Statistics, Machine Learning Salary: Not disclosed